EASE-related Publications

Shown Category: Perception

2020

[1] Enabling cognitive behavior of humans, animals, and machines: A situation model framework
Werner X Schneider, Josefine Albert, Helge Ritter, "Enabling cognitive behavior of humans, animals, and machines: A situation model framework", In ZiF-Mitteilungen, vol. 1, pp. 21-34, 2020.
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[2] Improved CNN-Based Marker Labeling for Optical Hand Tracking
Janis Rosskamp, Rene Weller, Thorsten Kluss, Gabriel Zachmann, others, "Improved CNN-Based Marker Labeling for Optical Hand Tracking", In International Conference on Virtual Reality and Augmented Reality, Springer LNCS, pp. 165-177, 2020.
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[3] Model-based Prediction of Exogeneous and Endogeneous Attention Shifts During an Everyday Activity
Felix Putze, Merlin Burri, Lisa-Marie Vortmann, Tanja Schultz, "Model-based Prediction of Exogeneous and Endogeneous Attention Shifts During an Everyday Activity", In , Virtual event, Netherlands, 2020.
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[4] Breaking the experience: effects of questionnaires in vr user studies
Susanne Putze, Dmitry Alexandrovsky, Felix Putze, Sebastian Höffner, Jan David Smeddinck, Rainer Malaka, "Breaking the experience: effects of questionnaires in vr user studies", In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-15, 2020.
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[5] From Geometries to Contact Graphs
Martin Meier, Robert Haschke, Helge J Ritter, "From Geometries to Contact Graphs", In International Conference on Artificial Neural Networks, pp. 546-555, 2020.
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[6] From Human to Robot Everyday Activity
Celeste Mason, Konrad Gadzicki, Moritz Meier, Florian Ahrens, Thorsten Kluss, Jaime Maldonado, Felix Putze, Thorsten Fehr, Christoph Zetzsche, Manfred Herrmann, others, "From Human to Robot Everyday Activity", In Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (Virtual), pp. 25-29, 2020.
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[7] Imagination-enabled Robot Perception
Patrick Mania, Franklin Kenghagho Kenfack, Michael Neumann, Michael Beetz, "Imagination-enabled Robot Perception", In arXiv preprint arXiv:2011.11397, 2020.
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[8] RobotVQA --- A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation
Franklin Kenghagho Kenfack, Feroz Ahmed Siddiky, Ferenc Balint-Benczedi, Michael Beetz, "RobotVQA --- A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.
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[9] The Robot Household Marathon Experiment
Gayane Kazhoyan, Simon Stelter, Franklin Kenghagho Kenfack, Sebastian Koralewski, Michael Beetz, "The Robot Household Marathon Experiment", 2020.
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[10] Decision making under uncertainty in a quasi realistic binary decision task--An fMRI study
K Gloy, M Herrmann, T Fehr, "Decision making under uncertainty in a quasi realistic binary decision task--An fMRI study", In Brain and Cognition, Elsevier, vol. 140, pp. 105549, 2020.
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[11] Categorization of Contact Events as Intended or Unintended usingPre-Contact Kinematic Features
Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche, "Categorization of Contact Events as Intended or Unintended usingPre-Contact Kinematic Features", In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020.
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[12] Pre-Contact Kinematic Features for the Categorization of Contact Eventsas Intended or Unintended
Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche, "Pre-Contact Kinematic Features for the Categorization of Contact Eventsas Intended or Unintended", In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020.
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[13] Early vs Late Fusion in Multimodal Convolutional Neural Networks
K. Gadzicki, R. Khamsehashari, C. Zetzsche, "Early vs Late Fusion in Multimodal Convolutional Neural Networks", In 2020 IEEE 23rd International Conference on Information Fusion (FUSION), vol. , no. , pp. 1-6, 2020.
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[14] Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for Reasoning about Space, Motion, and Interaction
Mehul Bhatt, Jakob Suchan, "Cognitive Vision and Perception: Deep Semantics Integrating AI and Vision for Reasoning about Space, Motion, and Interaction", In ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), IOS Press, vol. 325, pp. 2881-2882, 2020.
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[15] Examining Design Choices of Questionnaires in VR User Studies
Dmitry Alexandrovsky, Susanne Putze, Michael Bonfert, Sebastian Höffner, Pitt Michelmann, Dirk Wenig, Rainer Malaka, Jan David Smeddinck, "Examining Design Choices of Questionnaires in VR User Studies", In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, pp. 1-21, 2020.
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[16] Data Publication: Object Geometries and Contact Graphs
Martin Meier, "Data Publication: Object Geometries and Contact Graphs", In , 2020.
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[17] Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing
Martin Meier, "Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing", In , 2020.
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[18] Barometer-based Tactile Skin for Anthropomorphic Robot Hand
Risto Kõiva, Tobias Schwank, Guillaume Walck, Martin Meier, Robert Haschke, Helge Ritter, "Barometer-based Tactile Skin for Anthropomorphic Robot Hand", In , 2020.
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2019

[19] A Framework for Self-Training Perceptual Agents in Simulated Photorealistic Environments
Patrick Mania, Michael Beetz, "A Framework for Self-Training Perceptual Agents in Simulated Photorealistic Environments", In 2019 International Conference on Robotics and Automation (ICRA), pp. 4396-4402, 2019.
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[20] Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation
Supara Grudpan, Sebastian Höffner, John Bateman, Rainer Malaka, "Give MEANinGS to Robots with Kitchen Clash: A VR Human Computation Serious Game for World Knowledge Accumulation", In Entertainment Computing and Serious Games: First IFIP TC 14 Joint International Conference, ICEC-JCSG 2019, Arequipa, Peru, November 11--15, 2019, Proceedings, vol. 11863, pp. 85, 2019.
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[21] Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments With Humans in Virtual Reality and Robotic Applications
Jaime Leonardo Maldonado Cañón, Thorsten Kluss, Christoph Zetzsche, "Adaptivity of End Effector Motor Control Under Different Sensory Conditions: Experiments With Humans in Virtual Reality and Robotic Applications", In Frontiers in Robotics and AI, Frontiers Media SA, vol. 6, 2019.
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[22] Deep Residual Temporal Convolutional Networks for Skeleton-Based Human Action Recognition
R. Khamsehashari, K. Gadzicki, C. Zetzsche, "Deep Residual Temporal Convolutional Networks for Skeleton-Based Human Action Recognition", In Computer Vision Systems, Springer International Publishing, Cham, pp. 376-385, 2019.
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[23] Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates
Jesse Richter-Klug, Udo Frese, "Towards Meaningful Uncertainty Information for CNN Based 6D Pose Estimates", In Computer Vision Systems, Springer International Publishing, Cham, pp. 408-422, 2019.
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2018

[24] Exploring Human Kinematic Control for Robotics Applications: The Role of Afferent Sensory Information in a Precision Task
Jaime Leonardo Maldonado Cañon, Thorsten Kluss, Christoph Zetzsche, "Exploring Human Kinematic Control for Robotics Applications: The Role of Afferent Sensory Information in a Precision Task", In IROS 2018: Workshop - Towards Robots that Exhibit Manipulation Intelligence, 2018.
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[25] Multimodal Convolutional Neural Networks for Human Activity Recognition
Konrad Gadzicki, Razieh Khamsehashari, Christoph Zetzsche, "Multimodal Convolutional Neural Networks for Human Activity Recognition", In IROS 2018: Workshop on Latest Advances in Big Activity Data Sources for Robotics & New Challenges, 2018.
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2017

[26] Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks
Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Maximilian Durner, Michael Beetz, "Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks", In Proceedings of the 2017 IEEE International Conference on Advanced Robotics (ICAR), Hong-Kong, China, 2017. Finalist for Best Paper Award
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2016

[27] Semantic Question-Answering with Video and Eye- Tracking Data – AI Foundations for Human Visual Perception Driven Cognitive Film Studies
Jakob Suchan, Mehul Bhatt, "Semantic Question-Answering with Video and Eye- Tracking Data – AI Foundations for Human Visual Perception Driven Cognitive Film Studies", In IJCAI 2016: 25th International Joint Conference on Artificial Intelligence, New York City, USA, 2016.
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2015

[28] RoboSherlock: Unstructured Information Processing for Robot Perception
Michael Beetz, Ferenc Balint-Benczedi, Nico Blodow, Daniel Nyga, Thiemo Wiedemeyer, Zoltan-Csaba Marton, "RoboSherlock: Unstructured Information Processing for Robot Perception", In IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, 2015. Best Service Robotics Paper Award
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[29] Transferring Skills to Humanoid Robots by Extracting Semantic Representations from Observations of Human Activities
Karinne Ramirez-Amaro, Michael Beetz, Gordon Cheng, "Transferring Skills to Humanoid Robots by Extracting Semantic Representations from Observations of Human Activities", In Artificial Intelligence Journal, 2015.
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[30] Pervasive 'Calm' Perception for Autonomous Robotic Agents
Thiemo Wiedemeyer, Ferenc Bálint-Benczédi, Michael Beetz, "Pervasive 'Calm' Perception for Autonomous Robotic Agents", In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp. 871-879, 2015.
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[31] Understanding the intention of human activities through semantic perception: observation, understanding and execution on a humanoid robot
Karinne Ramirez-Amaro, Michael Beetz, Gordon Cheng, "Understanding the intention of human activities through semantic perception: observation, understanding and execution on a humanoid robot", In Advanced Robotics, vol. 29, no. 5, pp. 345-362, 2015.
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[32] Robust Semantic Representations for Inferring Human Co-manipulation Activities even with Different Demonstration Styles
Karinne Ramirez-Amaro, Emmanuel Dean-Leon, Gordon Cheng, "Robust Semantic Representations for Inferring Human Co-manipulation Activities even with Different Demonstration Styles", In 15th IEEE-RAS International Conference on Humanoid Robots, Seoul, Korea, 2015.
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2014

[33] PR2 Looking at Things: Ensemble Learning for Unstructured Information Processing with Markov Logic Networks
Daniel Nyga, Ferenc Bálint-Benczédi, Michael Beetz, "PR2 Looking at Things: Ensemble Learning for Unstructured Information Processing with Markov Logic Networks", In IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014.
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2013

[34] Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts
Moritz Tenorth, Stefan Profanter, Ferenc Balint-Benczedi, Michael Beetz, "Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo Big Sight, Japan, pp. 5943-5949, 2013.
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2012

[35] Ensembles of Strong Learners for Multi-cue Classification
Zoltan-Csaba Marton, Florian Seidel, Ferenc Balint-Benczedi, Michael Beetz, "Ensembles of Strong Learners for Multi-cue Classification", In Pattern Recognition Letters (PRL), Special Issue on Scene Understandings and Behaviours Analysis, 2012.
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